Triple
T14275655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communications Act 2003 |
E353908
|
entity |
| Predicate | section3Subject |
P450
|
FINISHED |
| Object | general duties of Ofcom |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: general duties of Ofcom | Statement: [Communications Act 2003, section3Subject, general duties of Ofcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: section3Subject Context triple: [Communications Act 2003, section3Subject, general duties of Ofcom]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
nameOfSubject
Indicates that the predicate specifies the name or label assigned to the subject entity.
-
C.
season3Subject
Indicates that the subject is associated with or pertains to the third season of a series or recurring event.
-
D.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
E.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.